DVV: towards a taxonomy for mixed reality visualization in image guided surgery

Authors:
Marta Kersten-Oertel;Pierre Jannin;D. Louis Collins
Affiliations:
McConnell Brain Imaging Center, MNI, McGill University, Montreal, Canada;McConnell Brain Imaging Center, MNI, McGill University, Montreal, Canada and Visages, INRIA, INSERM, CNRS, Universit de Rennes 1, Rennes, France;McConnell Brain Imaging Center, MNI, McGill University, Montreal, Canada
Venue:
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Year:
2010

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Abstract

We introduce the DVV taxonomy (Data, Visualization processing, View) which defines each of the major components of a mixed reality image-guided surgery (IGS) system. We propose that these components should be considered and in turn validated for acceptance of a system into the operating room. A taxonomy of IGS visualization systems is a step towards developing a common language that will help developers and end-users discuss and understand the constituents of a visualization system. We demonstrate the usefulness of the taxonomy by classifying fifteen state-of-the-art research papers in the domain of mixed reality visualization IGS systems.